scholarly journals Quantitative analysis of socially regional development significant indicators

2021 ◽  
Vol 20 (3) ◽  
pp. 37-43
Author(s):  
L. A. Tretyakova ◽  
E. V. Lisova
Keyword(s):  
Regional Development ◽  
Calculated Data ◽  
Federal District ◽  
Russian Regions ◽  
Recent Trends ◽  
The Russian Federation ◽  
Temporal And Spatial ◽  
Source Of Information ◽  
Medicine Education ◽  
Integral Indicator

The article is devoted to the regional socio-economic and social development of Russian regions. The authors draw attention to recent trends in the study of these processes. It is proposed to use the statistical collection «Regions of Russia, socio-economic indicators» as a source of information. The method of determining the integral indicator of regional development is proposed, a computer program is used to determine its numerical values on the basis of the block «Medicine, Education and Science». Numerical indicators proposed by the Ministry of Economic Development of the Russian Federation for calculating the integral indicator are described. For the regions of the Central Federal District, calculated data on the level of social regional development are provided. The analysis of the presented data is carried out, conclusions are drawn about the possible directions and prospects for further research in the temporal and spatial aspects.

Housing conditions of the population as an indicator of the region social development level

2021 ◽  
Vol 20 (1) ◽  
pp. 172-177
Author(s):  
Ekaterina V. Lisova
Keyword(s):  
Social Development ◽  
Computer Program ◽  
Federal District ◽  
Russian Regions ◽  
Housing Conditions ◽  
Leading Role ◽  
Development Level ◽  
The Social ◽  
Regions Of Russia ◽  
Integral Indicator

The article is devoted to the level of social development of Russian regions. It is noted that at present the social component plays a leading role in the research of various authors. It is proposed to use the indicators published in the statistical collection "Regions of Russia. Socio-economic indicators", as well as regional housing and utilities tariffs for assessing the level of social development. A method for determining the integral indicator of social development has been developed, and a computer program has been created to determine its numerical values based on indicators of housing conditions of the population. The calculated generalized indicators for the regions of the Central Federal District are given. Conclusions are drawn about the possibility of using the obtained data to assess and predict the level of social regional development.

scholarly journals Decomposition of Regional Development Shifts

2019 ◽  
Vol 9 (2) ◽  
pp. 3552-3557
Keyword(s):  
Regional Development ◽  
Russian Federation ◽  
Socioeconomic Development ◽  
Russian Regions ◽  
Economic Activities ◽  
Regional Effect ◽  
Federal Level ◽  
Industry Effect ◽  
The Russian Federation ◽  
National Industry

No breakthrough in the economic development of the Russian Federation could be achieved without the maximum utilisation of the inner regional potential. This implies high relevance of studies concerning the aspects of influence produced by internal and external factors on regional development, as well as analyses of the existing conditions at the macroeconomic level that support or hinder the engagement of inner regional reserves and opportunities in the regions' socioeconomic development. This would make the basis for a more comprehensive view of the regional system and its inherent properties, helping to identify ways to manage regional development. Objectives. Analysis and decomposition of developmental shifts in the Russian regions and their classification based on internal and external influences. Methods. The primary research method is the shift-share analysis method. The methods of logical and statistical analysis, particularly, correlation analysis, are also used. Results. The driver effects of shifts are calculated at the national, industry, and regional levels for 80 regions of the Russian Federation and the period comprising two time points, 2012 and 2017. The regional and industry effects are analysed by the types of economic activities. It is established that, firstly, the regional effect is negative for most regions and, secondly, the industry effect (in combination with the national effect) acts to smooth out the negative regional effect. Conclusions. A conclusion is made that positive shifts can be achieved both in strong and weak regional economies. Generally, the shifts in Russian regions are mostly influenced specifically by the internal regional conditions, which are mostly adverse, suggesting high importance of regional effects. The research highlights the significance of industry policies at the federal level, primarily in economic activities such as agriculture and manufacturing, and the need for improvement of regional policies implemented at the federal level to raise the number of self-developing regions.

scholarly journals Assessment of transport and logistics commerce in agriculture for the Southern Federal District of Russia

2021 ◽  
Vol 258 ◽  
pp. 02007
Author(s):  
Pavel Popov ◽  
Dmitry Gudkov ◽  
Nadezhda Galtseva
Keyword(s):  
Russian Federation ◽  
Social Indicators ◽  
Federal District ◽  
Transport Infrastructure ◽  
Transport Activity ◽  
Transport Services ◽  
Development Level ◽  
Significant Difference ◽  
The Russian Federation ◽  
Integral Indicator

The scientific paper provides a comparative analysis of the development level of the transport infrastructure in the Russian Federation constituents of the Southern Federal District. The analysis of the statistical data on the transport activity shows an increase in the volume of transport services in Rostov-on-Don and Krasnodar from 2012 to 2018. In Volgograd region and Astrakhan Oblast there is a decrease by 22% and 6% respectively. With regard to the motor hard surface highways per 1000 km2 there is a significant difference between the Russian Federation constituents in the Southern Federal District. The gap in the values of indicators in Krasnodar, Rostov-on-Don and other regions reaches 50%. In addition, a direct relationship between the social indicators and the volume of transport services for the period under consideration has been identified. In order to assess the development level of the region's transport and logistics infrastructure an integral indicator has been calculated based on the calculation of the relative coefficients of the transport activity in the Russian Federation constituents. As a result, the study shows that the highest value of the integral indicator characterizing the development level of the vehicular transport infrastructure is in Krasnodar Territory, the lowest value is in the Republic of Kalmykia. It should be noted that there is a significant imbalance in the development level of the transport and logistics infrastructure in different regions, which determines their different investment attractiveness and social and economic progress.

scholarly journals Informatization Management as a Tool to Improve Internal School Control Systems in the Russian Federation (Using Catering as an Example)

2021 ◽  
Vol 11 (20) ◽  
pp. 9471
Author(s):  
Eteri V. Mindzaeva ◽  
Anna A. Arinushkina
Keyword(s):  
Information System ◽  
Best Practices ◽  
General Education ◽  
Control Systems ◽  
Russian Federation ◽  
Federal District ◽  
Information Resources ◽  
Russian Regions ◽  
Children's Nutrition ◽  
The Russian Federation

This paper presents the results from monitoring the organization of catering for children in general education institutions. Monitoring was conducted in August–September 2020. We collected relevant databases for 85 Russian subjects: the total number of indicators—113, the total number of sub-indicators—347, and the total number of data—76,414. This paper investigates the problems surrounding resource provision in regard to organizing nutrition for schoolchildren in the Russian Federation. We analyzed the structure of the informatization in regard to the provision of hot meals for schoolchildren in Russian regions. Moreover, we present cases and best practices surrounding informatization management and personalization of children’s nutrition. The research results reveal that Russia possesses a unified regional information system for accounting/monitoring the organization of children’s nutrition, as an independent specialized information resource (in regard to catering). This paper identifies the levels of information technology used in school nutritional programs for each federal district. We present the results of the analysis, the availability of information resources, and the possibility of automated non-cash payments for meals in general education institutions. Moreover, we analyzed information resources and generated reporting documents on the organization of nutrition for schoolchildren in Russia. Finally, we analyzed the automated assessment of satisfaction, in regard to catering and food quality among children and their parents in Russian regions.

REGIONAL IDENTITY IN THE STUDENTS' CONSCIOUSNESS IN SIBERIAN FEDERAL DISTRICT

2021 ◽  
Vol 66 (1) ◽  
pp. 90-100
Author(s):  
DMITRY A. KAZANTSEV ◽  
◽  
DMITRY A. KACHUSOV ◽  
Keyword(s):  
Regional Identity ◽  
Federal District ◽  
Russian Regions ◽  
Local Identity ◽  
Siberian Federal District ◽  
Different Types ◽  
The Russian Federation ◽  
The Government ◽  
The Moment ◽  
Senior Students

At the moment, the question of correlation between national and regional identification and their impact on the Russians' consciousness stays acute. The peculiarities of historical development, the aspects of the government policy in Russia and global crisis of identity do influence the process of selfidentification among the Russian citizens, sometimes at the expense of the regional level. Nonetheless, regional identity is still an important piece of social-cultural puzzle of the Russian regions, both national and administrative-territorial. The indications of regional identity, at least partial, or as one of the few identities, can be found among senior students. To find the markers demonstrating that, the mass polling of the students was performed in schools of the Siberian Federal district. The results of this research allows us to detect different types and nature of national, regional, local identity among students from different subjects of the Russian Federation, as well as to define the local specifics in question of social-political selfidentification.

Forecasting the risk factors for sustainable regional development in Russia (for example of the Rostov region)

2020 ◽  
Author(s):  
M.V. Tarasova
Keyword(s):  
Risk Factors ◽  
Socioeconomic Development ◽  
Federal District ◽  
Social Processes ◽  
Economic Systems ◽  
Russian Regions ◽  
Rostov Region ◽  
Number Of Factors ◽  
The Russian Federation ◽  
Sustainable Regional Development

The article investigates a number of factors that determine the sustainability of socioeconomic development of Russian regions. On the example of one of the constituent entities of the Russian Federation that are part of the Southern Federal District - the Rostov region, risk factors that affect political and social processes in the regions in the conditions of technical recession, sanctions and pandemic restrictions have been established. It is concluded that in the current conditions of functioning of regional socio-economic systems, it is advisable to carry out economic reforms that ensure the adjustment of socio-economic development results obtained in the post-socialist period.

Socio-Economic and Demographic Problems of Sustainable Development of the Russian Regions Enjoying a Special Status

2018 ◽  
Vol 11 (4) ◽  
pp. 90-101
Author(s):  
R. V. Fattakhov ◽  
M. M. Nizamutdinov ◽  
V. V. Oreshnikov
Keyword(s):  
Regional Development ◽  
Russian Federation ◽  
Comprehensive Analysis ◽  
Russian Regions ◽  
The Subject ◽  
The Russian Federation ◽  
Statistical Indicators ◽  
Unique Status ◽  
Territorial Systems ◽  
Natural Territory

Nowadays, the development of regions in the Russian Federation is determined by a multitude of competing factors that require comprehensive analysis. Of particular interest are territories that differ from the rest of the country due to their unique status. The object of the research is the regions that make up the Baikal natural territory. The subject of research is the analysis of key parameters and sustainability of territorial systems in the Russian Federation enjoying a special status. The purpose of research was to study various modes of sustainability of regional development using a set of objective statistical indicators. It is concluded that according to many significant socio-economic parameters the situation in the regions of the Baikal natural territory is deteriorating, which, in aggregate, leads to degradation of the regional development sustainability and creates prerequisites for further deterioration of the situation. The results obtained can be used by regional administrations as well as by federal bodies.

scholarly journals Assessment of resilient development of the regional economies based on Mahalanobis distances

2020 ◽  
Vol 18 (3) ◽  
pp. 140-159
Author(s):  
Marina Yu. Malkina
Keyword(s):  
Regional Development ◽  
Russian Federation ◽  
Mahalanobis Distance ◽  
Manufacturing Industry ◽  
Negative Relationship ◽  
Federal State ◽  
Russian Regions ◽  
Economic Resilience ◽  
Mahalanobis Distances ◽  
The Russian Federation

The purpose of this study is to assess the resilience of the development of the Russian regions using the Mahalanobis distance methodology. I test a number of hypotheses about the relationship between resilient development and its level, rate, and the degrees of economic openness and sectoral diversification of the economy. The study relies on the data provided by the Federal State Statistics Service of the Russian Federation on 83 Russian regions from 2000 to 2017. The level of economic resilience was determined using five particular indicators per capita: the revenue of the consolidated budgets of the constituent entities of the Russian Federation, the actual final consumption of households, the investments of firms in fixed assets, exports and imports. Bringing partial indicators of development to a single indicator was carried out by calculating the Mahalanobis distances, demonstrating the average normalized distance of the region to a particular center. The construction of temporal regressions of the Mahalanobis distances for each region made it possible to separate the stable trend of their development from the cyclical component. To assess the absolute and relative levels of the instability of regional development, I used the standard deviation of the residuals of these regressions and its ratio to the time-average Mahalanobis distance of each region. To test the hypotheses, I constructed multivariate regressions based on spatial samples of regions. As a result of the study, I obtain assessments of the level and rate of development, as well as the levels of absolute and relative stability, both for 5 particular indicators and for a composite indicator in all Russian regions. A positive and rather high correlation was found between the level of regional development and its absolute instability. Among the least stable, I found a number of dynamically developing mining regions of the Russian Federation, such as the Tyumen and Sakhalin regions, the Yamalo-Nenets and Khanty-Mansi Autonomous Okrug, but also the Kaluga region with a developed manufacturing industry. Some of the less developed regions of the European part of Russia with a fairly diversified economy (Chuvash Republic, Ulyanovsk, Penza and Kirov regions) turned out to be the most stable. The study confirmed the hypotheses about a positive relationship between the degree of development instability and its level and rate, as well as the degree of openness of the economy, and about the negative relationship between the instability and the level of sectoral diversification of the economy. The results of the study can be useful in managing the resilient development of Russian regions.

scholarly journals Investment Attractiveness of Regions: Classification Analysis for the Volga Federal District

2021 ◽  
Vol 8 (4) ◽  
pp. 57-64
Author(s):  
Evgenii Mitrofanov ◽  
◽  
Alevtina Kulagina ◽  
Keyword(s):  
Hierarchical Cluster ◽  
Federal District ◽  
Point Of View ◽  
Standard Of Living ◽  
Investment Projects ◽  
The Russian Federation ◽  
Classification Of Regions ◽  
Production Dynamics ◽  
Integral Indicator

Based on 15 indicators of socio-economic situation, an integral indicator of the assessment of investment attractiveness was formed and ranking the subjects of the Russian Federation, which are part of the Volga Federal District. As a result of hierarchical cluster analysis, the Volga Regions are distributed in five clusters, taking into account the standard of living of the population, financial opportunities and industrial production dynamics in 2018. From the point of view of authors, the obtained classification of regions can be used in making decisions on the implementation of investment projects in the Volga Federal District

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